Data Engineer

About Launchmetrics Launchmetrics is the leading Brand Performance Cloud used by Fashion, Lifestyle and Beauty (FLB) executives to make smarter decisions around their branding efforts. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences. Founded in NYC and headquartered in Paris, we have employees in ten markets worldwide and offer support in five languages.

The Team & the Pods organization We are a team of passionate engineers distributed across the world, building state‑of‑the‑art modern applications and scaling them on the cloud. We innovate to solve customers’ problems, focusing on high‑performance implementations without neglecting the user experience. We recently moved our Product and Tech teams to a pod model, where a pod is a small group (1–4 people) that owns a single mission end‑to‑end: from scoping and building through cleaning, enablement and watching adoption.

The role The Data Platform and Data Enrichment teams are in charge of making our unified database accessible, usable, enrichable and reliable for all our teams internally. The team owns the Lakehouse that powers Launchmetrics’ data products—a Databricks‑based platform built on Delta Lake, S3, and following a Bronze/Silver/Gold medallion architecture. This layer stores, enriches, and serves the media intelligence data behind Discover, Genie and Delta Sharing. You’ll work on a batch‑first system that simulates real‑time behavior using Change Data Feed, S3 event triggers, serverless compute and liquid clustering.

What you’ll do

Design and build data pipelines (batch and near‑real‑time) using PySpark and Databricks across the Bronze/Silver/Gold medallion layers

Architect efficient Delta Lake table schemas—partitioning/liquid clustering strategy, schema evolution handling, and enrichment workflows

Work closely with product, QA and other data engineers to translate enrichment and search requirements into reliable pipelines

Own code quality: structured PySpark jobs, unit tests (pytest) and adherence to team conventions

Continuously improve pipeline reliability and cost efficiency (OPTIMIZE scheduling, retry/backoff logic, concurrency handling)

Participate in cross‑pod initiatives across the data platform

Technical stack

Languages: Python, PySpark, Typescript

Data Platform: Databricks, Delta Lake, Delta Sharing

Storage: AWS S3, MySQL

Cloud: AWS (S3, Kinesis, Lambda, SQS, ECS, Step Functions)

Tools: Jira, Databricks Asset Bundles, Serverless, Claude Code

Versioning: Git, GitHub

CI/CD: GitHub Actions

Testing: pytest, Jest

What we’re looking for

Engineer Degree or Master’s Degree in Computer Science

3+ years of relevant work experience in full‑stack development in a SaaS environment

Strong Python and PySpark experience; comfortable with distributed data processing at scale

Experience with a Lakehouse architecture (Databricks, Delta Lake or comparable)

Familiarity with medallion architecture patterns or similar layered data design

Ability to reason about schema evolution, partitioning/clustering strategy and pipeline reliability (retries, idempotency)

Strong problem‑solving skills and ability to traverse and understand procedural or object‑oriented code

Bright, energetic, highly motivated self‑starter with experience in a fast‑paced, results‑oriented organization

Adaptable, able to estimate workload, break down tasks and suggest improvements

Fluent in English (spoken, read, write)

Why you’ll love it here We’re a company that puts people first, with a relaxed but genuinely dynamic atmosphere and a team of motivated, curious people who enjoy their work. Autonomy is real here: pods make local decisions and own their outcomes, so you’ll see your fingerprints on the product quickly. You’ll receive a learning and development allowance, a benefits package tailored to your location, flexible working arrangements, support to set up your home office, and the room to grow along whichever path fits you. We are remote‑friendly, with hubs across our twelve markets.

Our commitment Launchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know.

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